We consider the task of generating protein sequences with fluorescence properties [1]} to evaluate SubTB(\(\lambda \) ) in settings with longer trajectories. In this task, sequences have a fixed length of 237. The proxy reward function \(R(x)\)  is trained on a dataset of proteins with their fluorescence scores from [2]}. The metrics and models are the same as in §REF ; see § for details.
